In this project, we have proposed a new approach to realize the intelligent pattern classification of bill money to enforce the office automation based on neural networks with evolution mechanism. The present project is to synthesize an intelligent pattern classifier system. To complete the project study, we have adopted the following approach to synthesize these intelligent control systems :(1) Learning Ability of the Neural networkWe have formulated the learning ability of neural networks by using information measure of the communication channel.(2) Emergence of Evolution Mechanism by Genetic AlgorithmsTo improve the learning ability of neural networks considered (1), we have introduced the genetic algorithms and find the global minimum of the learning curves.(3) Construction of Image Understanding by Neural NetworksTo realize the intelligence we have used not only numerical data but also image information processing as a multi-media data processing.(4) Hardware Implementation of Neuro-ClassifierIn order to speed up the classification and make the cost lower, we have implemented the neuro- hardware for bill money classification.